Automated Detection of Dyslexia Symptom Based on Handwriting Image for Primary School Children

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Automated Detection of Dyslexia Symptom Based on Handwriting Image for Primary School Children

This paper presents an automated detection system to identify the present of dyslexia symptoms in primary school children based on their handwriting images. The proposed automated detection system is developed by using pattern recognition technique. Based on their handwriting images, the pattern rec...

書誌詳細
出版年:	Procedia Computer Science
第一著者:	2-s2.0-85081159240
フォーマット:	Conference paper
言語:	English
出版事項:	Elsevier B.V. 2019
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081159240&doi=10.1016%2fj.procs.2019.12.127&partnerID=40&md5=d2ee1dce6d929e87d8f5cef3ddd59223

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